Tcc Wddm Better File

You don’t have to choose for the entire system. With two or more GPUs:

In practice, this gives you:

Real-world example:
A medical imaging server with 4× NVIDIA A16 GPUs. tcc wddm better

WDDM implements "Timeout Detection and Recovery" (TDR). If your CUDA kernel runs for more than 2 seconds without yielding to the Windows GUI, WDDM assumes the GPU is frozen and resets it (TDR event). This crashes your training job. You don’t have to choose for the entire system

TCC eliminates TDR entirely. You can run a single kernel for weeks without interruption. Furthermore, TCC allows for "Peer-to-Peer" (P2P) transfers between GPUs (NVLink) without copying memory through system RAM. WDDM often blocks direct P2P for stability reasons. In practice, this gives you: